Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Caution! Due to inherent human biases, it may seem that reports on articles aligning with our views are crafted by opponents. Conversely, reports about articles that contradict our beliefs might seem to be authored by allies. However, such perceptions are likely to be incorrect. These impressions can be caused by the fact that in both scenarios, articles are subjected to critical evaluation. This report is the product of an AI model that is significantly less biased than human analyses and has been explicitly instructed to strictly maintain 100% neutrality.
Nevertheless, HonestyMeter is in the experimental stage and is continuously improving through user feedback. If the report seems inaccurate, we encourage you to submit feedback , helping us enhance the accuracy and reliability of HonestyMeter and contributing to media transparency.
Leaving out relevant context that would help readers fully understand the data or situation.
The article states that the value of exported electricity decreased by 25.8% and volume by 30%, and that overall exports decreased while imports increased, but it does not provide any explanation or context (e.g., changes in demand, prices, production capacity, regional market conditions, policy changes).
Add brief context explaining possible reasons for the 25.8% decrease in export value and 30% decrease in export volume of electricity (for example, regional demand changes, maintenance of power plants, hydrological conditions, or price fluctuations).
Include information on whether these changes are part of a longer-term trend or a one-year fluctuation by comparing with data from several previous years.
Clarify whether the changes in overall exports (-3.85%) and imports (+12.9%) are driven mainly by energy trade or by other product groups, to avoid readers drawing incorrect inferences.
- This is an EXPERIMENTAL DEMO version that is not intended to be used for any other purpose than to showcase the technology's potential. We are in the process of developing more sophisticated algorithms to significantly enhance the reliability and consistency of evaluations. Nevertheless, even in its current state, HonestyMeter frequently offers valuable insights that are challenging for humans to detect.